:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wu, Haoyuan, Zheng, Haisheng, Hu, Shoubo, He, Zhuolun, Yu, Bei
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2502.12751
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Circuit Representation Learning with Masked Gate Modeling and Verilog-AIG Alignment
by: Wu, Haoyuan, et al.
Published: (2025)

One-Token Rollout: Guiding Supervised Fine-Tuning of LLMs with Policy Gradient
by: Ming, Rui, et al.
Published: (2025)

Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks
by: Wu, Haoyuan, et al.
Published: (2024)

Divergent Thoughts toward One Goal: LLM-based Multi-Agent Collaboration System for Electronic Design Automation
by: Wu, Haoyuan, et al.
Published: (2025)

Efficient OpAmp Adaptation for Zoom Attention to Golden Contexts
by: Wu, Haoyuan, et al.
Published: (2025)

ToTRL: Unlock LLM Tree-of-Thoughts Reasoning Potential through Puzzles Solving
by: Wu, Haoyuan, et al.
Published: (2025)

ChatEDA: A Large Language Model Powered Autonomous Agent for EDA
by: He, Zhuolun, et al.
Published: (2023)

TorchResist: Open-Source Differentiable Resist Simulator
by: Wang, Zixiao, et al.
Published: (2025)

From Masks to Worlds: A Hitchhiker's Guide to World Models
by: Bai, Jinbin, et al.
Published: (2025)

MaskBit: Embedding-free Image Generation via Bit Tokens
by: Weber, Mark, et al.
Published: (2024)

Customized Retrieval Augmented Generation and Benchmarking for EDA Tool Documentation QA
by: Pu, Yuan, et al.
Published: (2024)

Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders
by: Liu, Chuang, et al.
Published: (2024)

Autoregressive Image Generation with Masked Bit Modeling
by: Yu, Qihang, et al.
Published: (2026)

Flow-Controlled Scheduling for LLM Inference with Provable Stability Guarantees
by: Dong, Zhuolun, et al.
Published: (2026)

Masked Diffusion Models are Secretly Learned-Order Autoregressive Models
by: Garg, Prateek, et al.
Published: (2025)

On-Policy Optimization with Group Equivalent Preference for Multi-Programming Language Understanding
by: Wu, Haoyuan, et al.
Published: (2025)

Astra: General Interactive World Model with Autoregressive Denoising
by: Zhu, Yixuan, et al.
Published: (2025)

Effective Generation of Feasible Solutions for Integer Programming via Guided Diffusion
by: Zeng, Hao, et al.
Published: (2024)

Bit-by-Bit: Progressive QAT Strategy with Outlier Channel Splitting for Stable Low-Bit LLMs
by: Xu, Binxing, et al.
Published: (2026)

Enabling Autoregressive Models to Fill In Masked Tokens
by: Israel, Daniel, et al.
Published: (2025)

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression
by: Wang, Lirui, et al.
Published: (2025)

AnalogCoder-Pro: Unifying Analog Circuit Generation and Optimization via Multi-modal LLMs
by: Lai, Yao, et al.
Published: (2025)

Accelerating Frequency Domain Diffusion Models with Error-Feedback Event-Driven Caching
by: Liu, Dong, et al.
Published: (2026)

Exploring Gradient-Guided Masked Language Model to Detect Textual Adversarial Attacks
by: Zhang, Xiaomei, et al.
Published: (2025)

E2HiL: Entropy-Guided Sample Selection for Efficient Real-World Human-in-the-Loop Reinforcement Learning
by: Deng, Haoyuan, et al.
Published: (2026)

MARché: Fast Masked Autoregressive Image Generation with Cache-Aware Attention
by: Jiang, Chaoyi, et al.
Published: (2025)

Instruction-Guided Autoregressive Neural Network Parameter Generation
by: Bedionita, Soro, et al.
Published: (2025)

Mask-Enhanced Autoregressive Prediction: Pay Less Attention to Learn More
by: Zhuang, Xialie, et al.
Published: (2025)

Hide to Guide: Learning via Semantic Masking
by: Liu, Ruitao, et al.
Published: (2026)

Circuit Complexity Bounds for Visual Autoregressive Model
by: Ke, Yekun, et al.
Published: (2025)

Instruction-Guided Visual Masking
by: Zheng, Jinliang, et al.
Published: (2024)

Masked Generative Priors Improve World Models Sequence Modelling Capabilities
by: Meo, Cristian, et al.
Published: (2024)

Neural Autoregressive Control Variates for the Quantum Monte Carlo Sign Problem
by: Qiao, Bei, et al.
Published: (2026)

Partition Generative Modeling: Masked Modeling Without Masks
by: Deschenaux, Justin, et al.
Published: (2025)

A Perfectly Truthful Calibration Measure
by: Hartline, Jason, et al.
Published: (2025)

TimeMar: Multi-Scale Autoregressive Modeling for Unconditional Time Series Generation
by: Xu, Xiangyu, et al.
Published: (2026)

CLAQ: Pushing the Limits of Low-Bit Post-Training Quantization for LLMs
by: Wang, Haoyu, et al.
Published: (2024)

Masked Audio Generation using a Single Non-Autoregressive Transformer
by: Ziv, Alon, et al.
Published: (2024)

WaterVIB: Learning Minimal Sufficient Watermark Representations via Variational Information Bottleneck
by: He, Haoyuan, et al.
Published: (2026)

Data-Driven Stochastic Modeling Using Autoregressive Sequence Models: Translating Event Tables to Queueing Dynamics
by: Mittal, Daksh, et al.
Published: (2025)